DocumentCode :
1830016
Title :
Combining Sphere Decoding with M-Algorithm
Author :
Zheng, Jianping ; Bai, Baoming ; Wang, Xinmei
Author_Institution :
State Key Lab of ISN, Xidian Univ., Xi´´an
fYear :
2006
fDate :
22-26 Oct. 2006
Firstpage :
175
Lastpage :
178
Abstract :
The sequence detection problem for fading channels in multiple-input multiple-output (MIMO) wireless systems is investigated. The sphere decoding (SD) algorithm provides an exact maximum-likelihood (ML) solution, while has expected worst-case complexity which is exponential in the number of symbols jointly detected. On the other hand, the M-algorithm (MA) is a suboptimal solution. Its complexity is linear in the product of the list number and the number of symbols jointly detected. We combined the sphere-constrained search strategy of SD with the M-constrained search principle of the MA. The resulting algorithms can achieve good performance in term of bit error rate (BER) while lower complexity
Keywords :
MIMO communication; channel coding; error statistics; fading channels; maximum likelihood decoding; search problems; BER; M-algorithm; M-constrained search principle; MIMO wireless systems; bit error rate; fading channels; maximum-likelihood solution; multiple-input multiple-output; sequence detection problem; sphere decoding; Bit error rate; Detectors; Fading; Information theory; Lattices; MIMO; Maximum likelihood decoding; Quadrature amplitude modulation; Random variables; Receiving antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Workshop, 2006. ITW '06 Chengdu. IEEE
Conference_Location :
Chengdu
Print_ISBN :
1-4244-0067-8
Electronic_ISBN :
1-4244-0068-6
Type :
conf
DOI :
10.1109/ITW2.2006.323782
Filename :
4119280
Link To Document :
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